Triple
T28705986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddha in a Traffic Jam |
E729697
|
entity |
| Predicate | notableScreening |
P203350
|
FINISHED |
| Object | Jawaharlal Nehru University screening controversy |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jawaharlal Nehru University screening controversy | Statement: [Buddha in a Traffic Jam, notableScreening, Jawaharlal Nehru University screening controversy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableScreening Context triple: [Buddha in a Traffic Jam, notableScreening, Jawaharlal Nehru University screening controversy]
-
A.
notableShow
Indicates that a show is especially prominent, distinguished, or significant in some noteworthy way.
-
B.
notableProductionPresented
Indicates that a particular production has been prominently presented or staged by a given entity, such as a venue, company, or organization.
-
C.
screenplayNotableFor
Indicates that a screenplay is particularly recognized or distinguished for a specific work, feature, or achievement.
-
D.
notableBroadcast
Indicates that an entity is recognized for having made a significant or widely known broadcast.
-
E.
notableDisplay
Indicates that something is prominently or distinctively presented in a way that draws special attention or recognition.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_6a016777257081908841c5522dfa76e6 |
completed | May 11, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_6a0164e49bec8190af3c8626be9677a9 |
completed | May 11, 2026, 5:11 a.m. |
| PDg | Predicate description generation | batch_6a016775df2c81909448a0201f5f4af6 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 28, 2026, 5:45 a.m.